Simplified Deployment of Virtual Machines Using an Intelligent Design Engine

被引:0
|
作者
Oakes, James [1 ]
Johnson, Mark [1 ]
Xue, James [1 ]
Turner, Scott [1 ]
机构
[1] Northampton Univ, Dept Comp, Northampton, England
关键词
Automation; Cloud Computing; Artificial Intelligence; Virtualisation;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the advent of cloud computing and the virtualisation of computer systems, challenges exist in managing resources and Virtual Machines (VMs) effectively. Cloud computing platform services offer scalable and resilient platforms, but are still not without complexity to the end user community; this paper proposes an alternative solution for the deployment of an intelligent private or public cloud compute platform, built around a set of predefined rule based parameters with the purpose of providing a simplified process for provisioning VMs. The proposed solution incorporates an architecture and design, utilising existing utilities, tools and protocols; it provides example output from the experiment conducted to prove the overall process and concept are feasible for implementation in terms of presenting a simplified deployment mechanism. By using an Intelligent Decision Engine (IDE), it enables strict adherence to a set of standard build parameters based around expert system administration knowledge, which uniquely supports a one-click VM deployment procedure. Subsequent control and management of the system environment and VMs then continue to be managed through use of the IDE and its expert knowledge base.
引用
收藏
页码:566 / 572
页数:7
相关论文
共 50 条
  • [21] THE DESIGN OF A METHODOLOGY FOR THE INTELLIGENT CONTROL OF SIMULATION USING THE MANCHESTER SIMULATION ENGINE
    FILER, NF
    MARSHALL, RAJ
    SIMULATION METHODOLOGIES, LANGUAGES AND ARCHITECTURES AND AI AND GRAPHICS FOR SIMULATION, 1989, : 163 - 168
  • [22] Controlling the deployment of virtual machines on clusters and clouds for scientific computing in CBRAIN
    Glatard, Tristan
    Rousseau, Marc-Etienne
    Rioux, Pierre
    Adalat, Reza
    Evans, Alan C.
    2014 14TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID), 2014, : 384 - 393
  • [23] A Simplified Design of Intelligent Control for MIMO Systems
    Xiao, Liangjun
    Liu, Limin
    ADVANCES IN FUTURE COMPUTER AND CONTROL SYSTEMS, VOL 1, 2012, 159 : 637 - 640
  • [24] LVOT: The design of an intelligent system for building and using learning virtual objects
    de Miguel, Ana M. Gonzalez
    2006 3rd International IEEE Conference Intelligent Systems, Vols 1 and 2, 2006, : 14 - 19
  • [25] THE ERGRONOMISTS ROLE IN THE DESIGN PROCESS OF INTELLIGENT MACHINES
    PLUKE, MAH
    ERGONOMICS, 1980, 23 (05) : 514 - 515
  • [26] An intelligent conceptual design framework for complex machines
    Hong, Haibo
    Jiang, Zhenhua
    Yin, Yuehong
    51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2018, 72 : 586 - 591
  • [27] Confusion, social knowledge and the design of intelligent machines
    Whitley, EA
    JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 1996, 8 (3-4) : 365 - 381
  • [28] INTELLIGENT TUTORING SYSTEMS - TRENDS ON DESIGN, DEVELOPMENT AND DEPLOYMENT
    Niculescu, Cristina
    ELEARNING VISION 2020!, VOL III, 2016, : 280 - 285
  • [29] The design and implementation of an intelligent deployment system for RFID readers
    Hsu, Chien-Chang
    Yuan, Pang-Chi
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (08) : 10506 - 10517
  • [30] The Design, Deployment and Evaluation of the AnimalWatch Intelligent Tutoring System
    Cohen, Paul R.
    Beal, Carole R.
    Adams, Niall M.
    ECAI 2008, PROCEEDINGS, 2008, 178 : 663 - +